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The Analysis of the Properties of Bus Network Topology in Beijing Basing on Complex Networks

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  • Hui Zhang
  • Peng Zhao
  • Jian Gao
  • Xiang-ming Yao

Abstract

The transport network structure plays a crucial role in transport dynamics. To better understand the property of the bus network in big city and reasonably configure the bus lines and transfers, this paper seeks to take the bus network of Beijing as an example and mainly use space L and space P to analyze the network topology properties. The approach is applied to all the bus lines in Beijing which includes 722 lines and 5421 bus station. In the first phase of the approach, space L is used. The results show that the bus network of Beijing is a scale-free network and the degree of more than 99 percent of nodes is lower than 10. The results also show that the network is an assortative network with 46 communities. In a second phase, space P is used to analyze the property of transfer. The results show that the average transfer time of Beijing bus network which is 1.88 and 99.8 percent of arbitrary two pair nodes is reachable within 4 transfers.

Suggested Citation

  • Hui Zhang & Peng Zhao & Jian Gao & Xiang-ming Yao, 2013. "The Analysis of the Properties of Bus Network Topology in Beijing Basing on Complex Networks," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-6, March.
    • Handle: RePEc:hin:jnlmpe:694956
    DOI: 10.1155/2013/694956
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    Cited by:

    1. Pu, Han & Li, Yinzhen & Ma, Changxi, 2022. "Topology analysis of Lanzhou public transport network based on double-layer complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    2. De Bona, Anderson Andrei & de Oliveira Rosa, Marcelo & Ono Fonseca, Keiko Verônica & Lüders, Ricardo, 2021. "A reduced model for complex network analysis of public transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    3. Zhang, Hui & Cui, Houdun & Wang, Wei & Song, Wenbo, 2020. "Properties of Chinese railway network: Multilayer structures based on timetable data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    4. Yifeng Xiao & Zhenghong Zhong & Rencheng Sun, 2024. "Analysis of Topological Properties and Robustness of Urban Public Transport Networks," Sustainability, MDPI, vol. 16(15), pages 1-23, July.

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